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{ "item_title" : "MCP AI", "item_author" : [" Charles Sprinter "], "item_description" : "With MCP AI: A Developer's Guide to Building Next-Gen AI Agents with the Model Context Protocol-now fully revised and packed with hands-on examples, enterprise-ready patterns, and zero external dependencies.Whether you're a seasoned cloud architect or a developer diving into autonomous agents for the first time, this edition offers a clear, end-to-end roadmap: - All-New Structured FormatChapters flow logically from theory through code to real-world deployment, making complex concepts digestible and actionable.- Expanded Real-World ProjectsDive into complete implementations-from finance knowledge bots and IDE assistants to IT automation pipelines-demonstrating MCP in action.- Improved Code Quality & Zero GitHub DependencyEvery Python snippet is clean, fully runnable, and accompanied by expected outputs. No external repos or downloads-just copy, paste, and learn.- Cloud-Native Deployment GuidesStep-by-step walkthroughs for AWS (Lambda, ECS, API Gateway), Azure (Functions, App Service, AKS), and GCP (Cloud Run, GKE, Functions) ensure your agents scale securely.- Advanced Orchestration with LangChain, AutoGPT & Semantic KernelLearn how to register MCP tools, inject real-time context, and coordinate multi-agent workflows for robust, production-grade pipelines.- New AgentOps & Monitoring ChapterMaster observability with structured logging, performance metrics, error tracing, and cost control-essential for live systems.- Full MCP JSON-RPC Protocol ReferenceA comprehensive appendix detailing every method signature, parameter schema, and error code-your go-to resource for seamless integration.- Industry Use Cases & Architecture PatternsIn-depth snapshots of MCP deployments at scale, plus modular design templates you can adapt for your own solutions.- Governance & EthicsPractical guidance on PII redaction, human-in-the-loop flows, rogue behavior prevention, and compliance with global regulations.Transform your approach to AI development by adopting a protocol-first mindset. With MCP AI, you'll gain the tools to build, deploy, and govern intelligent agents that are scalable, secure, and ethically sound-right out of the box.Start your journey to next-generation AI agents today.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/9/79/831/688/9798316882960_b.jpg", "price_data" : { "retail_price" : "20.63", "online_price" : "20.63", "our_price" : "20.63", "club_price" : "20.63", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
MCP AI|Charles Sprinter

MCP AI : A Developer's Guide to Building NextGen AI Agents with the Model Context Protocol

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Overview

With MCP AI: A Developer's Guide to Building Next-Gen AI Agents with the Model Context Protocol-now fully revised and packed with hands-on examples, enterprise-ready patterns, and zero external dependencies.

Whether you're a seasoned cloud architect or a developer diving into autonomous agents for the first time, this edition offers a clear, end-to-end roadmap:

- All-New Structured Format
Chapters flow logically from theory through code to real-world deployment, making complex concepts digestible and actionable.

- Expanded Real-World Projects
Dive into complete implementations-from finance knowledge bots and IDE assistants to IT automation pipelines-demonstrating MCP in action.

- Improved Code Quality & Zero GitHub Dependency
Every Python snippet is clean, fully runnable, and accompanied by expected outputs. No external repos or downloads-just copy, paste, and learn.

- Cloud-Native Deployment Guides
Step-by-step walkthroughs for AWS (Lambda, ECS, API Gateway), Azure (Functions, App Service, AKS), and GCP (Cloud Run, GKE, Functions) ensure your agents scale securely.

- Advanced Orchestration with LangChain, AutoGPT & Semantic Kernel
Learn how to register MCP tools, inject real-time context, and coordinate multi-agent workflows for robust, production-grade pipelines.

- New AgentOps & Monitoring Chapter
Master observability with structured logging, performance metrics, error tracing, and cost control-essential for live systems.

- Full MCP JSON-RPC Protocol Reference
A comprehensive appendix detailing every method signature, parameter schema, and error code-your go-to resource for seamless integration.

- Industry Use Cases & Architecture Patterns
In-depth snapshots of MCP deployments at scale, plus modular design templates you can adapt for your own solutions.

- Governance & Ethics
Practical guidance on PII redaction, human-in-the-loop flows, rogue behavior prevention, and compliance with global regulations.

Transform your approach to AI development by adopting a protocol-first mindset. With MCP AI, you'll gain the tools to build, deploy, and govern intelligent agents that are scalable, secure, and ethically sound-right out of the box.

Start your journey to next-generation AI agents today.

This item is Non-Returnable

Details

  • ISBN-13: 9798316882960
  • ISBN-10: 9798316882960
  • Publisher: Independently Published
  • Publish Date: April 2025
  • Dimensions: 10 x 7 x 0.44 inches
  • Shipping Weight: 0.81 pounds
  • Page Count: 206

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